ZhennanQin commented on a change in pull request #12530: Implement mkldnn 
convolution fusion and quantization.
URL: https://github.com/apache/incubator-mxnet/pull/12530#discussion_r220034121
 
 

 ##########
 File path: src/operator/subgraph/mkldnn/mkldnn_conv-inl.h
 ##########
 @@ -0,0 +1,48 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+#ifndef MXNET_OPERATOR_SUBGRAPH_MKLDNN_MKLDNN_CONV_INL_H_
+#define MXNET_OPERATOR_SUBGRAPH_MKLDNN_MKLDNN_CONV_INL_H_
+#if MXNET_USE_MKLDNN == 1
+
+#include <utility>
+#include <vector>
+#include <string>
+#include "../../nn/convolution-inl.h"
+#include "../../nn/batch_norm-inl.h"
+#include "../../nn/mkldnn/mkldnn_convolution-inl.h"
+
+namespace mxnet {
+namespace op {
+
+struct MKLDNNConvFusionParam {
+  MKLDNNConvFullParam full_conv_param;
+  std::shared_ptr<BatchNormParam> bn_param;
+};
 
 Review comment:
   It's an abstraction to isolate mkldnn convolution params with fusion params: 
   MKLDNNConvFullParam defines in mkldnn_convolution-inl.h, which only contains 
the options convolution needed, and will pass to 
MKLDNNConvolutionForwardFullFeature.
   MKLDNNConvFusionParam defines in mkldnn_conv-inl.h, which is used for 
SgMKLDNNConvParamParser, and to support fusion related function in 
SgMKLDNNConvOperator::Forward. 

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